AI Secretary vs Duck AI

AI Secretary and Duck AI are both personal assistants tracked by AIDiveForge. Below is a side-by-side comparison of pricing, capabilities, platforms, and ownership — sourced from each tool's live website and verified before publishing.

AI Secretary

Telegram AI Secretary is a self-hosted Python daemon that listens to a Telegram account via Telethon, runs each incoming message through configurable notification rules and an LLM filter, then fires only the alerts that pass to your phone through ntfy. Setup requires a working Python environment, Telegram API credentials, an LLM endpoint, and an ntfy instance — none of which come pre-configured. The filtering logic lives in notification_rules.py, which you edit directly; there is no UI. It handles muted groups, direct urgency signals, and same-day scheduling well. It does not handle anything beyond single-message evaluation — no thread awareness, no conversation memory across sessions.

Duck AI

Duck.ai is DuckDuckGo's browser-based chat interface that routes your prompts to leading AI models without requiring sign-up or storing your conversation history, per the vendor's stated privacy model. The free tier gives you access to a set of base models; advanced models with higher usage headroom are a paid-only feature tied to a DuckDuckGo subscription. There is no API, no self-hosted option, and no way to connect it to your own tooling — it is a chat window and nothing more. For a quick question, anonymous research, or a productivity task you do not want tied to an identity, it works cleanly. When you need to automate, integrate, or run more than a handful of advanced queries a day, you hit its ceiling fast.

Attribute	AI Secretary	Duck AI
Pricing	Free	Paid
Price	—	$9.99/month or $99.99/year for advanced models
Free trial	No	7 days
Open source	Yes	No
Has API	No	No
Self-hosted option	Yes	No
Platforms	Python	Web
Pros	LLM-assisted urgency evaluation catches natural-language signals like 'I'm outside' or 'free tonight?' that keyword rules miss, so messages requiring a real response get through even when Telegram is fully muted. Fully self-hosted with no external service dependency beyond your chosen LLM endpoint, which means your message content never touches a third-party notification broker. Editing notification_rules.py gives you direct control over filter logic without an abstraction layer between your intent and execution, so rule changes take effect on the next restart without waiting on a vendor's UI. ntfy as the delivery target works on Android and iOS without a proprietary app, so you receive filtered alerts on standard push infrastructure you likely already run. MIT license with a systemd unit file included, so deploying this as a persistent background service on a Linux machine is a copy-paste operation rather than a packaging project.	No account or sign-up required, so you can query any supported model without leaving an identity footprint — which matters when the research itself is the thing you do not want logged. Access to multiple AI models from a single interface, so you can compare outputs without maintaining separate accounts or API keys for each provider. Free tier with no usage friction for base models, so occasional users get real AI access without a billing commitment. DuckDuckGo's stated no-logging privacy model, so queries you run here are not fed back into a training pipeline or tied to a browsing profile the way they would be on most mainstream AI chat products.
Cons	Each message is evaluated in isolation with no conversation memory across sessions, so follow-up messages that only make sense in context — 'still waiting', 'did you see my last message' — can fail the urgency filter even when the original message would have passed; teams who need thread-aware filtering have to maintain their own context-injection layer or abandon this tool for a hosted alternative. All configuration changes require editing Python source files directly and restarting the process; there is no API, no web UI, and no hot-reload, which means non-technical household members or teammates cannot adjust their own notification rules without developer involvement. The tool listens to a single Telegram account only — no multi-account support, no other messaging platforms — so anyone filtering across Signal, WhatsApp, or multiple Telegram accounts simultaneously has to run and maintain separate instances or switch to a unified notification management service.	No API means any team that needs to call a model programmatically — to power a feature, automate a task, or process data in bulk — cannot use Duck.ai at all. There is no workaround short of switching to a provider that offers API access. Advanced models are a paid-only feature with no standalone purchase path — they require a DuckDuckGo subscription, so teams evaluating Duck.ai specifically for model access are buying into a broader product they may not want. No persistent context or session history means every conversation starts cold. Users running multi-step research or iterative drafting have to manually paste prior context back in each time, which breaks any workflow longer than a single exchange. No self-hosted or local option means privacy-sensitive organizations that cannot route queries through a third-party server — regulated industries, legal teams, enterprise security requirements — have no deployment path here. Teams with those constraints move to self-hosted open-source models.

Bottom line

AI Secretary is free while Duck AI is paid; AI Secretary is open source. Choose based on which difference matters most for your workflow.

Frequently asked questions

What is the difference between AI Secretary and Duck AI?

AI Secretary is Free and open source, while Duck AI is Paid. Compare pricing, free trial, API, platforms, and pros/cons in the table above on AIDiveForge.

Is AI Secretary better than Duck AI?

It depends on your workflow. Use the side-by-side attributes (pricing, open source, API, self-hosted, platforms) to decide. AIDiveForge does not rank a universal winner — we publish verified facts so you can choose.